Machine-Learning Assisted Side-Channel Attacks on RNS ECC Implementations Using Hybrid Feature Engineering-Reference-Cited by-同舟云学术

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Machine-Learning Assisted Side-Channel Attacks on RNS ECC Implementations Using Hybrid Feature Engineering

Published:2022 Issue: Volume: Page:3-28
ISSN:0302-9743
Container-title:Constructive Side-Channel Analysis and Secure Design
language:
Short-container-title:

Author:

Mukhtar Naila,Papachristodoulou Louiza,Fournaris Apostolos P.,Batina Lejla,Kong Yinan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-99766-3_1

Reference57 articles.

1. Inspector SCA tool. https://www.riscure.com/security-tools/inspector-sca. Accessed 08 Feb 2022

2. National Computational Infrastructure Australia. https://nci.org.au/our-services/supercomputing. Accessed 08 Feb 2022

3. Lecture Notes in Computer Science;C Andrikos,2019

4. Lecture Notes in Computer Science;C Archambeau,2006

5. Bajard, J.-C., Duquesne, S., Meloni, N.: Combining Montgomery Ladder for Elliptic Curves defined over Fp and RNS Representation. In Research Report 06041 (2006)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Playing With Blocks: Toward Re-Usable Deep Learning Models for Side-Channel Profiled Attacks;IEEE Transactions on Information Forensics and Security;2022

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